similar to: installing R packages in a networked lab?

[Env: WinXp, R 2.9.2] In my .Rprofile, I define a number of utility functions I'd like to have available in my R session, but don't want them to be *normally* listed by ls(), or more importantly, saved if I save my session variables/functions. How can I do this? -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice: 416

I'm sure this is probably simple, but I can't find an answer... I have a data frame (Galton's data on heights of parents and children), in grouped form, parent child frequency 73.5 72.2 1 73.5 73.2 3 72.5 68.2 1 72.5 69.2 2 72.5 70.2 1 72.5 71.2 2 72.5 72.2 7 72.5 73.2 2 72.5 74.2 4 71.5 65.2 1 71.5 66.2 3 71.5 67.2 4 71.5 68.2 3 71.5 69.2 5 71.5 70.2 10 ... and need the ungrouped

In an R graphic, I'm using cond.col <- c("green", "yellow", "red") to represent a quantitative variable, where green means 'OK', yellow represents 'warning' and red represents 'danger'. Using these particular color names, in B/W, red is darkest and yellow is lightest. I'd like to find color designations to replace yellow and

[Using R 2.7.2 on Windows XP] After re-building our heplots package, I've begun to get the following error from sessionInfo(), even though it passes R CMD check and builds without errors: > sessionInfo() Error in x$Priority : $ operator is invalid for atomic vectors In addition: Warning message: In FUN(c("MASS", "heplots", "car", "rgl",

I have a list of vectors, all forced to be the same length: testlist <- list( shape=c(0, 0, 2), cell.fill=c("red","blue","green"), back.fill=rep("white",3), scale.max=rep(100,3) ) > str(testlist) List of 4 $ shape : num [1:3] 0 0 2 $ cell.fill: chr [1:3] "red" "blue" "green" $ back.fill: chr [1:3]

Is there an R implementation of a scheme for automatic smoothing parameter selection with loess, e.g., by minimizing one of the AIC/GCV statistics discussed by Hurvich, Simonoff & Tsai (1998)? Below is a function that calculates the relevant values of AICC, AICC1 and GCV--- I think, because I to guess from the names of the components returned in a loess object. I guess I could use

For an historical paper I'm working on, I have some Spanish plaintext, presently in the form of a Word .doc file, http://euclid.psych.yorku.ca/SCS/Gallery/images/Private/Langren/Verdadera-spanish-stripped.doc and also some ciphered text from the same original source. The ultimate goal is to use some frequency analysis of letters and word lengths in the plaintext to help decode the

In the following, I'm fitting a logistic regression model, and using car:::influencePlot. When I run the latter with output to the screen, it calls identify() that lets me label observations with large CookD. However, if I use postscript() to get .eps output, identify() seems not to be called at all. If instead, I use dev.copy2eps() after getting output to the screen, the point labels

*Summary*: The latest Windows binary version of rgl_081.708 from R-Forge has some problem that causes rgl.snapshot() to fail, at least on my system. Thereafter, *all* rgl 3D graphics are rendered without any text labels. The last problem remains even after (a) removing rgl and re-installing from CRAN, (b) re-starting with a fresh installation of all of R 2.7.2. *System*: Win XP Pro A vexing

I'm trying to test an extension of mosaic() from the vcd package that requires a change to the basic strucplot() function from that package. I want to test my change by sourcing the replacement function into my R session. But when I do that, source("c:/R/mosaics/strucplot-MF.R") and run my extension, it is apparent that it is vcd:::strucplot that is eventually called, not my

I recently was forced to do a dist-upgrade and rebuild my kernel, so a lot has changed on my system, and I don't know if that is related to the errors & warnings I get from apt-get update. Any ideas? thanks -Michael euclid:~# apt-get update Get: 1 http://debian.yorku.ca stable Release.gpg [378B] Get: 2 http://debian.yorku.ca stable/updates Release.gpg [189B] Get: 3

I have two series of events over time and I want to construct a graph of the relative frequency/density of these events that allows their distributions to be sensibly compared. The events are the milestones items in my project on milestones in the history of data visualization [1], and I want to compare trends in Europe vs. North America. I decided to use a graph of two overlaid density

How can I get the result of, e.g., poly(1:3. degree=2) to give me the unnormalized integer coefficients usually used to explain orthogonal polynomial contrasts, e.g, -1 1 0 -2 1 1 As I understand things, the columns of x^{1:degree} are first centered and then are normalized by 1/sqrt(col sum of squares), but I can't see how to relate this to what is returned by poly(). >

How can I read a space-delimited file, where the data values for each case are folded before column 80, and so appear on two lines for each case? The first few cases look like this loc type bio H2S sal Eh7 pH buf P K Ca Mg Na Mn Zn Cu NH4 OI DVEG 676 -610 33 -290 5.00 2.34 20.238 1441.67 2150.00 5169.05 35184.5 14.2857 16.4524 5.02381 59.524 OI DVEG 516 -570 35 -268 4.75 2.66 15.591 1299.19

In building a package, what are the settings in the package files or the build commands that determine whether the compiled HTML help windows have the window title "R Help for package foo" vs. "HTML Help"? I often have quite a few help files active, and it is much more convenient to navigate among them if the window has an informative title. If this is simple to test for in

I've just installed R 1.6.1 and would like to install all the contributed packages I had used in 1.5.1. It's not too hard to do this manually from Rgui, but I wondered if there is an easier way, something like writing the results of installed.packages() from 1.5.1 to a file and using that with install.packages() in 1.6.1, or just having 1.6.1 read what's in rw151/library. --

Hi I just upgraded my debian/stable to R 2.7.1 via apt-get install r-base r-base-core r-base-dev, and then began to update.packages() > update.packages(lib.loc="/usr/local/lib/R/site-library") > update.packages(lib.loc="/usr/lib/R/library") but I get: .... * Installing *source* package 'mgcv' ... ** libs gcc -std=gnu99 -I/usr/share/R/include -fpic -g

[Env: Win XP Pro / R 2.11.1] I keep occasionally running into the annoying problem of getting warnings from R CMD check regarding non ASCII characters in .Rd files, without any easy way of finding them. Mostly these come from copy/paste of references or other material from web pages or Win applications, and often involve varieties of quote-like characters, e.g., if I try to include output

Hi I'm trying to make a 3d plot showing a point cloud, the corresponding data ellipse and the principal axes of the ellipse as vectors. library(rgl) data(trees) cov <- cov(trees) mu <- mean(trees) plot3d(trees, type="s", size=0.5, col="blue", cex=2) In this step, an extra box is added. I've tried using box=FALSE, but it has no effect. # how to avoid the

Given a data frame consisting of a pointID and 12 pairs of (lat, long) variables, with names latA, longA, latB, longB, ... latL, longL, I want to reshape it into a data frame with the structure point source lat long 1 A ... ... 1 B ... ... I've looked at reshape and plyr, but can't figure out how to do this. Details of my data frame are below